Buzz Captions icon
Buzz Captions icon

Buzz Captions

Buzz Captions is an offline audio transcription and translation tool powered by OpenAI's Whisper model. It allows users to import audio and video files to generate transcripts in CSV, SRT, TXT and VTT formats.

Buzz Captions screenshot 1

Cost / License

  • Pay once
  • Open Source (MIT)

Application type

Platforms

  • Mac
  • Windows
  • Linux
  • Flathub
  • Flatpak
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Features

Properties

  1.  Lightweight

Features

  1.  Ad-free
  2.  Works Offline
  3.  Cloud Sync
  4.  Dark Mode

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Buzz Captions information

  • Developed by

    Chidi Williams

  • Licensing

    Open Source (MIT) and Commercial product.

  • Pricing

    One time purchase (perpetual license) ranging between $9 and $10.

  • Written in

  • Alternatives

    45 alternatives listed

  • Badge

    Get an embeddable badge for Buzz Captions

  • Supported Languages

    • English

AlternativeTo Categories

Audio & Music, AI Tools & Services

GitHub repository

  •  21,471 Stars
  •  1,591 Forks
  •  16 Open Issues
  •   Updated  
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Our users have written 1 comments and reviews about Buzz Captions, and it has gotten 4 likes

Buzz Captions was added to AlternativeTo by atu777 on and this page was last updated .

Comments and Reviews

   
Top Positive Comment
Mr. Anon
0

Just tried on Linux Mint. It's free, and is available for purchase on Mac if one so desires. Otherwise, it is FOSS. Works really well so far, best local and free audio transcription tool I've ever used so far.

Official Links

AppStores & Other Links

Download from Mac App Store

What is Buzz Captions?

Buzz Captions is an offline audio transcription and translation tool powered by OpenAI's Whisper model. It allows users to import audio and video files to generate transcripts in CSV, SRT, TXT and VTT formats. The software also enables live transcription and translation from a computer's microphones for over 90 supported languages. While audio transcription is resource intensive and may not be real-time, Buzz Captions is available for Windows, Linux and macOS in both a classic open-source version and a native macOS app, offering users flexible transcription options.